Wireless Indoor Localization Dataset#
The wireless data frame has 2000 rows and 8 columns. The first 7 variables report the measurements of the Wi-Fi signal strength received from 7 Wi-Fi routers in an office location in Pittsburgh (USA). The last column indicates the class labels.
Format#
A data frame containing the following columns:
V1: signal strength from router 1.
V2: signal strength from router 2.
V3: signal strength from router 3.
V4: signal strength from router 4.
V5: signal strength from router 5.
V6: signal strength from router 6.
V7: signal strength from router 7.
V8: group memberships, from 1 to 4.
Details#
The Wi-Fi signal strength is measured in dBm, decibel milliwatts, which is expressed as a negative value ranging from -100 to 0. The labels correspond to ‘conference room’, ‘kitchen’, ‘indoor sports room’, and ‘other’. In total, we have 4 groups with 500 observations each.
Source#
Bhatt,Rajen. (2017). Wireless Indoor Localization. UCI Machine Learning Repository. https://doi.org/10.24432/C51880.
References#
Rohra, J.G., Perumal, B., Narayanan, S.J., Thakur, P., Bhatt, R.B. (2017). User Localization in an Indoor Environment Using Fuzzy Hybrid of Particle Swarm Optimization & Gravitational Search Algorithm with Neural Networks. In: Deep, K., et al. Proceedings of Sixth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 546. Springer, Singapore. https://doi.org/10.1007/978-981-10-3322-3_27